112 citations · 320 across the 20 of their papers we have counts for
5 papers · 1 filter
Castor: Contextual IoT Time Series Data and Model Management at Scale
Bei Chen, Bradley Eck, Francesco Fusco +4
We demonstrate Castor, a cloud-based system for contextual IoT time series data and model management at scale. Castor is designed to assist Data Scientists in (a) exploring and ret…
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran +9
Adversarial Robustness Toolbox (ART) is a Python library supporting developers and researchers in defending Machine Learning models (Deep Neural Networks, Gradient Boosted Decision…
Automated Image Data Preprocessing with Deep Reinforcement Learning
Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam +1
Data preparation, i.e. the process of transforming raw data into a format that can be used for training effective machine learning models, is a tedious and time-consuming task. For…
Learning Correlation Space for Time Series
Han Qiu, Hoang Thanh Lam, Francesco Fusco +1
We propose an approximation algorithm for efficient correlation search in time series data. In our method, we use Fourier transform and neural network to embed time series into a l…
Neural Feature Learning From Relational Database
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn +2
Feature engineering is one of the most important but most tedious tasks in data science. This work studies automation of feature learning from relational database. We first prove t…